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If you are trying to scrape Facebook for market research, SEO monitoring, or competitive analysis, something often feels off early on. A Python script can run while returning incomplete data, or a page may load once and then stop responding. This pattern appears frequently in Facebook scraping and usually points to issues beyond simple syntax or single requests.
If you’re trying to scrape Instagram, you’re probably not starting from scratch. You may have already accessed public profiles, collected a few posts, or briefly seen usable data returned. Then the behavior changes. Pages load inconsistently, the Explore feed looks different on every visit, or a script that worked for a short time suddenly stops. That uncertainty makes it hard to tell whether the issue lies in your setup or how Instagram serves content.
If you’re trying to figure out how to scrape Twitter with Python, there’s a good chance you’ve already hit a wall. The page loads fine in your browser, but your script returns empty results, misses tweets, or works once and then quietly fails. This is a common experience for anyone trying to scrape Twitter for the first time, and it usually has less to do with your code than with how Twitter(X) actually delivers its content.
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